COURSE INTRODUCTION AND APPLICATION INFORMATION

dm.ieu.edu.tr

Course Name

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
	Fall/Spring

Prerequisites

ECON 301

To succeed (To get a grade of at least DD)

Course Language

Course Type

Elective

Course Level

Mode of Delivery

Teaching Methods and Techniques of the Course

Course Coordinator

Course Lecturer(s)

Assistant(s)

Course Objectives
Learning Outcomes	The students who succeeded in this course; Will be able to select and apply appropriate statistical models pertaining to various subject areas in economics. Will be able to estimate nonlinear models. Will be able to analyse models with a dichotomy variable as dependent variable, specifically, the LPM, Logit, and Probit models. Will be able to use simultaneous equation models; the indirect and two step least squares methods; dynamic models with time delayed explanatory variables; and Granger causality test. Will be able to explain basic theories of stationary and nonstationary models such as the ARMA and the ARIMA models. Will be able to use models for panel data.
Course Description

Course Category	Core Courses
	Major Area Courses
	Supportive Courses	X
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials
1	Introduction
2	Time Series Models	Using Econometrics: A Practical Guide Chapter 12
3	Nonstationary Data	Using Econometrics: A Practical Guide Chapter 12
4	Holiday-NO CLASS
5	Dummy Dependent Variable Techniques	Using Econometrics: A Practical Guide Chapter 13
6	Dummy Dependent Variable Techniques – cont’d	Using Econometrics: A Practical Guide Chapter 13
7	Midterm Exam	November 5
8	Simultaneous Equations- Project 1 due on November 12	Using Econometrics: A Practical Guide Chapter 14
9	Simultaneous Equations – cont’d	Using Econometrics: A Practical Guide Chapter 14
10	Forecasting	Using Econometrics: A Practical Guide Chapter 15
11	Forecasting	Using Econometrics: A Practical Guide Chapter 15
12	Analysis of Panel Data	Using Econometrics: A Practical Guide Chapter 16
13	Analysis of Panel Data	Using Econometrics: A Practical Guide Chapter 16
14	Presentations
15	Presentations
16	Review of the semester

Course Notes/Textbooks	A. H. Studenmund, Using Econometrics: A Practical Guide (Fifth Edition)
Suggested Readings/Materials

EVALUATION SYSTEM

Semester Activities	Number	Weigthing
Participation	16	10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury	1	10
Project	2	30
Seminar / Workshop
Oral Exam
Midterm	1	15
Final Exam	1	35
Total

Weighting of Semester Activities on the Final Grade	20	65
Weighting of End-of-Semester Activities on the Final Grade	1	35
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: 16 x total hours)	16
Study Hours Out of Class	16	2
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury	1	10
Project	2	15
Seminar / Workshop
Oral Exam
Midterms	1	10
Final Exams	1	20
		Total	150

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	Program Competencies/Outcomes	* Contribution Level
#	Program Competencies/Outcomes	1	2	3	4	5
1	To have a grasp of basic mathematics, applied mathematics and theories and applications of statistics.
2	To be able to use theoretical and applied knowledge acquired in the advanced fields of mathematics and statistics,
3	To be able to define and analyze problems and to find solutions based on scientific methods,
4	To be able to apply mathematics and statistics in real life with interdisciplinary approach and to discover their potentials,
5	To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,
6	To be able to criticize and renew her/his own models and solutions,
7	To be able to tell theoretical and technical information easily to both experts in detail and nonexperts in basic and comprehensible way,
8	To be able to use international resources in English and in a second foreign language from the European Language Portfolio (at the level of B1) effectively and to keep knowledge up-to-date, to communicate comfortably with colleagues from Turkey and other countries, to follow periodic literature,
9	To be familiar with computer programs used in the fields of mathematics and statistics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
10	To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
11	To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,
12	By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
13	To be able to continue lifelong learning by renewing the knowledge, the abilities and the compentencies which have been developed during the program, and being conscious about lifelong learning,
14	To be able to adapt and transfer the knowledge gained in the areas of mathematics and statistics to the level of secondary school,
15	To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest